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Image conservation process
Image restoration and recolorization using artificial intelligence
Inpainting is a conservation process where damaged, deteriorated, or missing parts of an artwork are filled in to present a complete image.[1] This process is commonly used in image restoration. It can be applied to both physical and digital art mediums such as oil or acrylic paintings, chemical photographic prints, sculptures, or digital images and video.
With its roots in physical artwork, such as painting and sculpture, traditional inpainting is performed by a trained art conservator who has carefully studied the artwork to determine the mediums and techniques used in the piece, potential risks of treatments, and ethical appropriateness of treatment.
^Newman, Richard (2011). Conservation and care of museum collections (1st ed.). MFA publications. p. 29. ISBN 978-0-87846-729-7.
approach to inpainting was established. Helmut Ruhemann (1891–1973), a German restorer and conservator, led the discussions on the use of inpainting in conservation...
Inpaint is a graphics software for retouching photos and removing unwanted objects, supported on Microsoft Windows and Macintosh. Inpaint focuses on photo...
Audio inpainting (also known as audio interpolation) is an audio restoration task which deals with the reconstruction of missing or corrupted portions...
solve inverse problems such as noise reduction, super-resolution, and inpainting. Image statistics are captured by the structure of a convolutional image...
text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text...
consider image inpainting. The conditions are x ~ {\displaystyle {\tilde {x}}} , the reference image, and m {\displaystyle m} , the inpainting mask. The conditioning...
compression (i.e. tone mapping), color management, image completion (a.k.a. inpainting or hole filling), image compression, digital watermarking, and artistic...
AI-powered updates which includes AI image generation, AI infill, AI inpainting and more. "Inmagine Group Announces Restructure into Two Independent Businesses...
films. Texture synthesis can be used to fill in holes in images (as in inpainting), create large non-repetitive background images and expand small pictures...
repository audit method based on risk assessment Historic paint analysis Inpainting Kintsugi Leafcasting Lining of paintings Mass deacidification Overpainting...
been shown to be useful in many ill-posed inverse problems such as image inpainting, super-resolution, and coding. It has been of particular interest for...
repository audit method based on risk assessment Historic paint analysis Inpainting Kintsugi Leafcasting Lining of paintings Mass deacidification Overpainting...
Verge. Retrieved June 13, 2020. Yu, Jiahui, et al. "Generative image inpainting with contextual attention." Proceedings of the IEEE conference on computer...
Once located, those defects can be corrected by scaling or replaced by inpainting. Infrared reflectography can be applied to paintings to reveal underlying...
different self-supervised training techniques, including transformation, inpainting, patch discrimination and clustering. Examples of generative approaches...
various image restoration tasks, including denoising, super-resolution, and inpainting. The use of generative adversarial networks (GANs) has also gained attention...
to losses that have a heavy concentration of animal gelatin/alum for inpainting. The material that makes up the support can have a major impact on the...
repository audit method based on risk assessment Historic paint analysis Inpainting Kintsugi Leafcasting Lining of paintings Mass deacidification Overpainting...
successfully applied to inverse problems such as denoising, super-resolution, inpainting, and film colorization. These applications include learning methods such...
time—e.g., via generating drafts, draft-refinitions, and image components (inpainting). Generated images are sometimes used as sketches, low-cost experimentations...
dictionaries have immense applications in image compression, image fusion and inpainting. Given the input dataset X = [ x 1 , . . . , x K ] , x i ∈ R d {\displaystyle...
Studierfenster are the automatic cranial implant design with a neural network, the inpainting of aortic dissections with a generative adversarial network, an automatic...
repository audit method based on risk assessment Historic paint analysis Inpainting Kintsugi Leafcasting Lining of paintings Mass deacidification Overpainting...
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